Simple Functions to Save Time and Memory

Documentation for package ‘cheapr’ version 1.2.0

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cheapr: Simple Functions to Save Time and Memory

-- A --

address	Memory address of R object
all_na	Efficient functions for dealing with missing values.
any_na	Efficient functions for dealing with missing values.
as_df	Cheap data frame utilities
as_discrete	Turn continuous data into discrete bins
as_discrete.integer64	Turn continuous data into discrete bins
as_discrete.numeric	Turn continuous data into discrete bins
as_factor	A cheaper version of 'factor()' along with cheaper utilities
attrs	Add and remove attributes
attrs_add	Add and remove attributes
attrs_rm	Add and remove attributes

-- B --

bin	A sometimes cheaper but argument richer alternative to '.bincode()'

-- C --

case	A cheapr case-when and switch
cheapr	cheapr: Simple Functions to Save Time and Memory
cheapr_c	A cheapr version of 'c()'
cheapr_if_else	Cheaper version of 'ifelse()'
cheapr_rep	cheapr style repeat functions
cheapr_rep_each	cheapr style repeat functions
cheapr_rep_len	cheapr style repeat functions
cheapr_rev	Extra utilities
cheapr_table	Fast frequency tables - Still experimental
cheapr_var	Extra utilities
col_all_na	Efficient functions for dealing with missing values.
col_any_na	Efficient functions for dealing with missing values.
col_c	Cheap data frame utilities
col_na_counts	Efficient functions for dealing with missing values.
copy	Copy R objects
cut_numeric	Extra utilities

-- D --

deep_copy	Copy R objects
deframe_	Extra utilities

-- E --

Extra utilities

-- F --

factor_	A cheaper version of 'factor()' along with cheaper utilities
fast_df	Cheap data frame utilities

-- G --

gcd	Greatest common divisor and smallest common multiple
gcd2	Greatest common divisor and smallest common multiple
get_breaks	Pretty break-points for continuous (numeric) data
get_breaks.default	Pretty break-points for continuous (numeric) data
get_breaks.integer64	Pretty break-points for continuous (numeric) data
get_breaks.numeric	Pretty break-points for continuous (numeric) data

-- I --

intersect_	Extra utilities
int_sign	A fast and integer-based 'sign()'
is_na	Efficient functions for dealing with missing values.
is_na.data.frame	Efficient functions for dealing with missing values.
is_na.default	Efficient functions for dealing with missing values.
is_na.POSIXlt	Efficient functions for dealing with missing values.
is_na.vctrs_rcrd	Efficient functions for dealing with missing values.

-- L --

lag2_	Lagged operations.
lag_	Lagged operations.
lag_sequence	Utilities for creating many sequences
lead_sequence	Utilities for creating many sequences
lengths_	List utilities
levels_add	A cheaper version of 'factor()' along with cheaper utilities
levels_add_na	A cheaper version of 'factor()' along with cheaper utilities
levels_count	A cheaper version of 'factor()' along with cheaper utilities
levels_drop	A cheaper version of 'factor()' along with cheaper utilities
levels_drop_na	A cheaper version of 'factor()' along with cheaper utilities
levels_factor	A cheaper version of 'factor()' along with cheaper utilities
levels_lump	A cheaper version of 'factor()' along with cheaper utilities
levels_rename	A cheaper version of 'factor()' along with cheaper utilities
levels_reorder	A cheaper version of 'factor()' along with cheaper utilities
levels_rm	A cheaper version of 'factor()' along with cheaper utilities
levels_unused	A cheaper version of 'factor()' along with cheaper utilities
levels_used	A cheaper version of 'factor()' along with cheaper utilities
list_assign	List utilities
list_as_df	Cheap data frame utilities
list_combine	List utilities
list_drop_null	List utilities
list_lengths	List utilities

-- N --

named_list	Turn dot-dot-dot ('...') into a named list
name_repair	Cheap data frame utilities
na_count	Efficient functions for counting, finding, replacing and removing scalars
na_find	Efficient functions for counting, finding, replacing and removing scalars
na_insert	Extra utilities
na_replace	Efficient functions for counting, finding, replacing and removing scalars
na_rm	Efficient functions for counting, finding, replacing and removing scalars
new_df	Cheap data frame utilities
new_list	List utilities
num_na	Efficient functions for dealing with missing values.

-- O --

overview	An alternative to 'summary()' inspired by the skimr package
overview.character	An alternative to 'summary()' inspired by the skimr package
overview.data.frame	An alternative to 'summary()' inspired by the skimr package
overview.Date	An alternative to 'summary()' inspired by the skimr package
overview.default	An alternative to 'summary()' inspired by the skimr package
overview.factor	An alternative to 'summary()' inspired by the skimr package
overview.integer	An alternative to 'summary()' inspired by the skimr package
overview.integer64	An alternative to 'summary()' inspired by the skimr package
overview.logical	An alternative to 'summary()' inspired by the skimr package
overview.numeric	An alternative to 'summary()' inspired by the skimr package
overview.POSIXt	An alternative to 'summary()' inspired by the skimr package
overview.ts	An alternative to 'summary()' inspired by the skimr package
overview.zoo	An alternative to 'summary()' inspired by the skimr package

-- R --

reconstruct	Reconstruct an object from a template
reconstruct.data.frame	Reconstruct an object from a template
reconstruct.data.table	Reconstruct an object from a template
recycle	Recycle objects to a common size
rep	cheapr style repeat functions
row_all_na	Efficient functions for dealing with missing values.
row_any_na	Efficient functions for dealing with missing values.
row_c	Cheap data frame utilities
row_na_counts	Efficient functions for dealing with missing values.

-- S --

sample_	Extra utilities
scm	Greatest common divisor and smallest common multiple
scm2	Greatest common divisor and smallest common multiple
semi_copy	Copy R objects
sequence_	Utilities for creating many sequences
seq_	Utilities for creating many sequences
seq_id	Utilities for creating many sequences
seq_size	Utilities for creating many sequences
setdiff_	Extra utilities
set_abs	Math operations by reference - Experimental
set_add	Math operations by reference - Experimental
set_ceiling	Math operations by reference - Experimental
set_change_sign	Math operations by reference - Experimental
set_divide	Math operations by reference - Experimental
set_exp	Math operations by reference - Experimental
set_floor	Math operations by reference - Experimental
set_log	Math operations by reference - Experimental
set_multiply	Math operations by reference - Experimental
set_pow	Math operations by reference - Experimental
set_round	Math operations by reference - Experimental
set_sqrt	Math operations by reference - Experimental
set_subtract	Math operations by reference - Experimental
set_trunc	Math operations by reference - Experimental
shallow_copy	Copy R objects
sset	Cheaper subset
sset.data.frame	Cheaper subset
sset.POSIXlt	Cheaper subset
sset.sf	Cheaper subset
sset_col	Fast functions for data frame subsetting
sset_df	Fast functions for data frame subsetting
sset_row	Fast functions for data frame subsetting

-- U --

unique_name_repair	Cheap data frame utilities
unlisted_length	List utilities

-- V --

val_count	Efficient functions for counting, finding, replacing and removing scalars
val_find	Efficient functions for counting, finding, replacing and removing scalars
val_insert	Extra utilities
val_match	A cheapr case-when and switch
val_replace	Efficient functions for counting, finding, replacing and removing scalars
val_rm	Efficient functions for counting, finding, replacing and removing scalars
vector_length	Extra utilities

-- W --

which_	Memory-efficient alternative to 'which()'
which_na	Efficient functions for dealing with missing values.
which_not_na	Efficient functions for dealing with missing values.
which_val	Efficient functions for counting, finding, replacing and removing scalars
window_sequence	Utilities for creating many sequences
with_local_seed	Extra utilities

-- misc --

%!in_%	Extra utilities
%in_%	Extra utilities